Jobs in Canada

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TH
Senior Project Manager – Software Implementation (Defined Benefit, Defined Contribution & Benefits)
TELUS Health (Canada) Ltd.
Toronto, ON · Vancouver, BC · Burnaby, BC · Edmonton, AB · Ottawa, ON · Calgary, AB
- Full-time
AI fluency and digital leadership mindset - hands-on experience applying generative AI, copilots, or automation to improve delivery insights, governance, and decision support
Added 1 day ago
FI
Software Developer
Fidelity Investments Canada ULC
Toronto, ON
- Full-time
The Software Developer, Applied AI reports to the Manager, Applied AI and is responsible for designing, building, testing and deploying practical, secure and governed AI solutions for…
Added 1 day ago
FI
Software Developer, AI Engineering & SDLC Transformation
Fidelity Investments Canada ULC
Toronto, ON
- Full-time
The Software Developer, AI Engineering & SDLC Transformation reports to the Manager, Applied AI and is responsible for applying generative AI and agentic engineering to transform the…
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Sr. Director, Enterprise Data & Analytics
Vetsource
Canada
- Full-time
Develop the data and platform foundations required for AI-powered products, predictive analytics, intelligent automation, and generative AI use cases.
Added 1 day ago
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Sr. Manager, Technical Architect – Enterprise AI Solutions
Canadian Solar Inc.
Canada
- Full-time
- Hybrid
Design scalable AI platforms supporting Generative AI, Agentic AI, Machine Learning, and advanced analytics
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MB
Global Head of Analytical Editorial Operations
Matthew Bender & Company, Inc. Company
Toronto, ON
- Full-time
Added 1 day ago
LC
Responsable du marketing, Québec/Marketing Lead-Quebec
LexisNexis Canada Inc. Company
QC
- Full-time
…activités juridiques. Nous mettons en œuvre des solutions d'IA générative puissantes et éthiques grâce à une approche flexible à modèles multiples qui privilégie l'utilisation du meilleur…
Added 1 day ago
MB
Global Head of Analytical Editorial Operations
Matthew Bender & Company, Inc. Company
Toronto, ON
- Full-time
Added 1 day ago
LC
Responsable du marketing, Québec/Marketing Lead-Quebec
LexisNexis Canada Inc. Company
QC
- Full-time
…activités juridiques. Nous mettons en œuvre des solutions d'IA générative puissantes et éthiques grâce à une approche flexible à modèles multiples qui privilégie l'utilisation du meilleur…
Added 1 day ago
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Engineering Enablement Specialist
Canada - Genesys Cloud Services Corp.
AB · Québec, QC · Toronto, ON
- Full-time
You will independently shape scalable learning, knowledge management, and communication approaches using Generative AI, automation, and modern learning technologies. Partnering with…
Added 1 day ago
TR
Senior Solutions Manager, Tax & Audit AI FDE
Thomson Reuters (Tax & Accounting) Inc
Toronto, ON
- Full-time
- Hybrid
Hands-on experience with generative AI, agentic workflows, APIs, enterprise integrations, data ingestion, spreadsheet/calculation workflows, or document-intensive professional work.
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TR
Senior Inference Engineer - AI
Thomson Reuters Applications Inc
Toronto, ON
- Full-time
- Hybrid
This role ensures that our trained models - from classical ML to generative AI - run efficiently across TR’s multi cloud footprint (AWS, Azure, GCP, OCI), meet strict enterprise reliability…
Added 1 day ago
TR
Staff Software Engineer – AI Platform
Thomson Reuters Holdings Inc.
Toronto, ON
- Full-time
- Hybrid
…services (Python, FastAPI, PostgreSQL, AWS, Vercel) that power generative AI agents, complex workflows (e.g., tax filing, advisory, audit), and document‑centric…
Added 1 day ago
TR
Senior Director, Product Management – Transactional Use Cases
Thomson Reuters Holdings Inc.
Toronto, ON
- Full-time
- Hybrid
…market: transactional practice. CoCounsel is Thomson Reuters’ generative AI platform for legal professionals, already trusted across law firms for research, drafting, and review. The next…
Added 1 day ago
TR
Senior Director, Product Management – In-House Use Cases
Thomson Reuters Holdings Inc.
Toronto, ON
- Full-time
- Hybrid
This is an exciting opportunity to help expand CoCounsel, Thomson Reuters’ generative AI platform for legal professionals, into the in-house legal market. CoCounsel is already trusted…
Added 1 day ago
TR
Principal Software Engineer / Architect – AI, CoCounsel FDE
Thomson Reuters (Tax & Accounting) Inc
Toronto, ON
- Full-time
- Hybrid
Significant experience with AI/ML, Generative AI, or LLM-powered systems in production environments.
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Associate Creative Director (AI Design)
Kepler Group
Toronto, ON
…AI-generated outputs, and ensuring responsible and transparent use of generative tools. They will guide how design, automation, and creativity intersect, serving as both a practitioner and…
Added 1 day ago
PI
AI Engineer
Patlytics, Inc.
Toronto, ON
- Full-time
- Hybrid
…is protected and monetized at scale. Our advanced LLMs and generative AI engine - custom-built for intellectual property - power every phase of the patent workflow from invention disclosure…
Added 1 day ago
Scientifique de données - Data Scientist
TobogganLabs
Montréal, QC · Québec, QC
…et optimiser des modèles d'apprentissage automatique ou d’IA générative pour répondre aux besoins clients, incluant le feature engineering et l'évaluation de…
Added 1 day ago
Développeur·euse senior en IA / systèmes agentiques - Senior AI/Agentic Systems Developer
TobogganLabs
Montréal, QC · Québec, QC
Avez une expérience concrète avec les LLM en production, incluant le prompt engineering, le context engineering et la mise en place de cadres d’évaluation pour des systèmes d’IA générative.
Added 1 day ago
Consultant principal / Responsable de l'IA - Principal Consultant / Head of AI
TobogganLabs
Montréal, QC · Québec, QC
Avoir une solide compréhension des algorithmes d’apprentissage automatique et de l’apprentissage profond, plus particulièrement des modèles d’IA générative.
Added 1 day ago
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Founding Engineer
Superpilot Labs
Canada
- Full-time
- Hybrid
Added 1 day ago
AI Solution Architect
Levio
Toronto, ON
We are seeking AI Solution Architect to define, design, and lead the delivery of enterprise-grade AI and generative AI solutions. This role bridges business strategy, solution architecture,…
Added 1 day ago
C
Senior Forward Deployed Engineer
Caylent
Canada
- $150,000 to $235,000 CAD / year
Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and…
Added 1 day ago
C
Senior Engineer
Caylent
Canada
- $131,000 to $147,000 CAD / year
Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and…

Fidelity Investments Canada ULC

Software Developer

Toronto, ON, Canada

Full-time

Apply on fil.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 2+ years of experience in software development, preferably in the financial services/mutual fund/investment industry
Posting language: English
Posted: Nov 4, 2026

Original job description

Job Description

Software Developer (Applied AI)

You will be working on a 100% remote schedule as part of Fidelity’s dynamic working arrangement.

Current work authorization for Canada is required for all openings.

At Fidelity, we’ve been helping Canadian investors build better financial futures for over 35 years. We offer individuals and institutions a range of trusted investment portfolios and services - and we’re constantly seeking to find new and better ways to help our clients. As a privately owned company, we boldly embrace innovation in all areas as we continue to grow our business into the future.

Working with us means you’ll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. You’ll have a wide range of opportunities to grow and develop your career in an inclusive environment where you’ll feel valued and supported to be your best - both personally and professionally.

What You Will Do

The Software Developer, Applied AI reports to the Manager, Applied AI and is responsible for designing, building, testing and deploying practical, secure and governed AI solutions for Fidelity Investments Canada. The role has a strong focus on generative AI, agentic AI and modern software engineering, while contributing to reusable Applied AI foundations that can be scaled across multiple business use cases.

This is a hands-on engineering role for someone who is passionate about emerging technology and enjoys turning rapidly evolving AI capabilities into practical, production-ready solutions. The successful candidate will work directly with business and technology partners to understand problems and opportunities, translate them into AI use cases, rapidly experiment with potential solutions and mature successful prototypes into reliable enterprise applications.

The role will also work closely with the Manager, Applied AI, Fidelity International, Architecture, Security and AI Governance to ensure solutions are scalable, observable, secure and governed, while maintaining flexibility across models, technology platforms and vendors.

What You Will Do

Partner directly with business, product and technology teams to understand business problems and translate them into well-defined AI use cases and technical requirements; build rapid prototypes and proofs of concept and develop successful ideas into production-quality AI and agentic applications, APIs and services.
Build and extend Applied AI foundations, including reusable patterns for model access, RAG and enterprise knowledge, agent orchestration, tool use, evaluation, observability and deployment. Develop cloud-native components using technologies such as AWS, Snowflake and Kubernetes.
Design modular and portable AI components that preserve strategic flexibility across models, frameworks and vendors, and collaborate with Fidelity International and Architecture teams to reuse and extend enterprise capabilities where appropriate.
Apply modern agentic engineering practices, including prompt and context engineering, LLMs, APIs, tools, memory, RAG, workflow orchestration, evaluations, guardrails and observability.
Build AI solutions with security and governance embedded from the beginning, working closely with AI Governance, Security, Privacy, Risk and Architecture on data access, model and tool usage, human oversight, traceability, monitoring and other required controls.
Continuously evaluate emerging foundation models, agent frameworks and AI engineering techniques through hands-on experimentation. Assess technologies based on capability, security, governance, interoperability, performance, cost and operational complexity, and turn promising approaches into reusable production patterns.
Apply strong software engineering practices across AI applications, including automated testing, CI/CD, security and quality gates, resilient design, error handling, monitoring, logging, fallbacks and cost management.
Support production AI services through observability, root-cause analysis and continuous improvement, monitoring application health as well as model and agent quality, latency, errors and cost.
Contribute to a strong Applied AI engineering culture through design and code reviews, technical discussions, documentation, reusable examples, knowledge sharing and collaboration across business, data, architecture, security, governance and international teams.

The Expertise You Bring

Strong expertise with advanced Python skills for developing and supporting production-grade APIs, services, and applications.
Experience building and deploying scalable cloud-native solutions using AWS, Snowflake, and Kubernetes.
Proficiency in API development, microservices architecture, containerization, CI/CD pipelines, Infrastructure as Code (IaC), and automated testing.
Knowledge of Java and/or JavaScript is considered an asset.
Strong understanding of Machine Learning, Generative AI, and Agentic AI Engineering principles and practices.
Hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), agent orchestration, tool integration, and prompt/context engineering.
Experience with AI evaluation, observability, monitoring, performance optimization, and cost management.
Familiarity with MLOps/LLMOps, including model and agent lifecycle management and evaluation frameworks.
Knowledge of AI security, privacy, responsible AI, and governance-by-design principles.
Excellent communication, stakeholder management, analytical problem-solving, and continuous learning capabilities, with the ability to collaborate effectively across technical and business teams.

What We’re Looking For

Degree in Computer Science, Software Engineering, Economics or Mathematics or equivalent working experience
2+ years of experience in software development, preferably in the financial services/mutual fund/investment industry
Candidates should have demonstrated hands-on experience delivering production software solutions, with practical experience in AI/ML, generative AI or agentic applications strongly preferred.
AWS certification or equivalent hands-on cloud experience is considered an asset.
Experience working within Agile or Scrum environments is an asset.

Total Rewards That Reflect Your Impact

We believe exceptional work deserves exceptional recognition. That’s why we offer a competitive compensation package designed to support your success today - and your financial well-being tomorrow.

For this role, your total rewards include:

Base Salary and Discretionary Performance Bonus: Total annual cash compensation (base salary plus target bonus) ranges from $101,000 to $118,000, based on your experience and qualifications.
RRSP Contribution: After 6 months of employment, we invest in your future with an RRSP contribution - no employee matching required.

We’re proud to offer a compensation package that aligns with provincial pay transparency requirements.

This posting represents an existing vacancy within our organization - an opportunity to step into a role where your talents will make a meaningful difference.

Some of the ways we will help you feel valued and supported as part of our team:

Flexible working arrangements that vary based on role requirements
Competitive total compensation, including company contributions to your group RRSP without a matching requirement from you
Comprehensive health benefits that start on your first day, with 100% employer-paid premiums, that include up to $6000 annually for mental health services and therapy
Parental leave top-up to 100% of your salary for a period of 25 weeks
Up to $650 for home office equipment
Generous time off policy, including 2 paid days annually to volunteer at a charity of your choice
Diversity and inclusion programs, including an active network of Employee Resource Groups
Extensive professional development opportunities, including access to over 11,000 training and development courses, tuition reimbursement, and monetary rewards for completing a required designation

We care a lot about fostering a compassionate, people-centric culture, and are proud to have been named one of Canada’s Top 100 employers for the last five years.

We use AI-enabled LinkedIn Hiring Assistant to support parts of our sourcing process as well as an AI screening tool that assists in screening and assessing applications. Every hiring decision is reviewed and finalized by our recruiters. If you choose to ask questions to the LinkedIn HR Hiring Assistant, please be mindful that the responses are not official and must be confirmed for accuracy and completeness by Fidelity. If you are selected for an interview, the recruiter who contacts you can best answer your questions.

Fidelity Canada is an equal opportunity employer

Fidelity Canada is committed to fostering a diverse and inclusive workplace. We will consider all qualified applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, family status, protected veterans’ status, Aboriginal/Native American status or any other legally-protected ground.

Accommodation during the application process

Fidelity Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in the selection process. If you require an accommodation, please email us at FidelityCanadaStaffing@fidelity.ca.

No telephone inquiries or agencies please. We thank all applicants for their interest, please be advised that only those selected for an interview will be contacted.

Why Work at Fidelity?

We are proud to be recipients of the following:

Awards

•   Canada's Top 100 Employers
o   Greater Toronto's Top Employers
o   Canada's Top Family-Friendly Employers
o   Canada's Top Employers for Young People

•   Great Place To Work® Certified
o   Best Workplaces for Inclusion
o   Best Workplaces for Mental Wellness
o   Best Workplaces for Today's Youth
o   Best Workplaces for Women
o   Best Workplaces in Financial Services & Insurance
o   Best Workplaces in Ontario
o   Best Workplaces with Most Trusted Executive Teams

•   LinkedIn Top Companies in Canada

•   Human Resource Director (HRD) - Best Place To Work
o   HRD - 5-Star Benefit Program
o   HRD - 5-Star Diversity & Inclusion Employer

Designations
•   Canadian Compassionate Companies – Certified
•   Benefits Canada's Workplace Benefits Award - Future of Work Strategy
•   TalentEgg National Recruitment Excellence Award - Special Award for Diversity & Inclusion in Recruiting
•   Canadian HR Reporter's Most Innovative HR Team

Apply on fil.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

The Software Developer, Applied AI will work with business and technology teams to turn problems into AI use cases, build prototypes and move them into production. The role also builds reusable AI components and keeps production AI services secure, monitored and governed.

Requirements

Fidelity Investments Canada needs candidates with a degree in computer science, software engineering, economics or mathematics, or equivalent experience, and 2+ years of software development experience. Strong advanced Python, cloud-native skills on AWS, Snowflake and Kubernetes, and hands-on LLM, RAG and agent experience are required.

Skills

Python
AWS
Snowflake
Kubernetes
API development
microservices
containerization
CI/CD
Infrastructure as Code
automated testing
Java
JavaScript
large language models
retrieval-augmented generation
agent orchestration
tool integration
prompt engineering
context engineering
AI evaluation
observability
MLOps
LLMOps
AI security
responsible AI
AI governance

Benefits

RRSP contribution without employer matching
Health benefits with employer-paid premiums
Mental health and therapy coverage
Parental leave top-up
Home office equipment allowance
Paid volunteer days
Professional development and tuition reimbursement

Keywords

Python
AWS
Snowflake
Kubernetes
generative AI
agentic AI
LLM
RAG
prompt engineering
context engineering
LLMOps
MLOps
CI/CD
Infrastructure as Code
microservices
Java
JavaScript
AI governance
Agile
Scrum

Seniority

Mid level

Perks

Parental leave
Retirement plan
Tuition support
Wellness program
Paid training
Remote work allowance

Tools

Python
AWS
Snowflake
Kubernetes
Java
JavaScript

Languages

English

Fields of study

Computer Science
Software Engineering
Economics
Mathematics

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Work requirements

Jobs in Canada